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Subject Membership Inference Attacks in Federated Learning

Subject Membership Inference Attacks in Federated Learning

7 June 2022
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
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Papers citing "Subject Membership Inference Attacks in Federated Learning"

14 / 14 papers shown
Title
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade
Shubham Patil
21
0
0
12 May 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Qiongxiu Li
Wenrui Yu
Yufei Xia
Jun Pang
FedML
47
1
0
10 Mar 2025
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document
  VQA
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben
Mohamed Ali Souibgui
Rubèn Pérez Tito
Khanh Nguyen
Raouf Kerkouche
...
Josep Lladós
Ernest Valveny
Antti Honkela
Mario Fritz
Dimosthenis Karatzas
FedML
28
0
0
06 Nov 2024
Efficient Federated Unlearning under Plausible Deniability
Efficient Federated Unlearning under Plausible Deniability
Ayush K. Varshney
V. Torra
MU
24
3
0
13 Oct 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo
  Federated Learning
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning
Jiaxin Li
Marco Arazzi
Antonino Nocera
Mauro Conti
23
2
0
28 Sep 2024
Privacy-Preserving Data Deduplication for Enhancing Federated Learning
  of Language Models
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models
Aydin Abadi
Vishnu Asutosh Dasu
Sumanta Sarkar
33
3
0
11 Jul 2024
Privacy-Aware Document Visual Question Answering
Privacy-Aware Document Visual Question Answering
Rubèn Pérez Tito
Khanh Nguyen
Marlon Tobaben
Raouf Kerkouche
Mohamed Ali Souibgui
...
Lei Kang
Ernest Valveny
Antti Honkela
Mario Fritz
Dimosthenis Karatzas
28
13
0
15 Dec 2023
Security and Privacy Issues of Federated Learning
Security and Privacy Issues of Federated Learning
J. Hasan
19
10
0
22 Jul 2023
FedCSD: A Federated Learning Based Approach for Code-Smell Detection
FedCSD: A Federated Learning Based Approach for Code-Smell Detection
Sadi Alawadi
Khalid Alkharabsheh
Fahed Alkhabbas
V. Kebande
Feras M. Awaysheh
Fabio Palomba
Mohammed Awad
FedML
19
12
0
31 May 2023
Manipulating Transfer Learning for Property Inference
Manipulating Transfer Learning for Property Inference
Yulong Tian
Fnu Suya
Anshuman Suri
Fengyuan Xu
David E. Evans
AAML
16
6
0
21 Mar 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference
  Privacy in Machine Learning
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
A. Salem
Giovanni Cherubin
David E. Evans
Boris Köpf
Andrew J. Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
31
35
0
21 Dec 2022
Dissecting Distribution Inference
Dissecting Distribution Inference
Anshuman Suri
Yifu Lu
Yanjin Chen
David E. Evans
23
14
0
15 Dec 2022
Distribution inference risks: Identifying and mitigating sources of
  leakage
Distribution inference risks: Identifying and mitigating sources of leakage
Valentin Hartmann
Léo Meynent
Maxime Peyrard
Dimitrios Dimitriadis
Shruti Tople
Robert West
MIACV
8
14
0
18 Sep 2022
Lessons Learned: Defending Against Property Inference Attacks
Lessons Learned: Defending Against Property Inference Attacks
Joshua Stock
Jens Wettlaufer
Daniel Demmler
Hannes Federrath
AAML
16
1
0
18 May 2022
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